stefano maria iacus
stefano maria iacus
Department of Economics, Management and Quantitative Methods. University of Milan. Italy
Email verificata su - Home page
TitoloCitata daAnno
Bioconductor: open software development for computational biology and bioinformatics
RC Gentleman, VJ Carey, DM Bates, B Bolstad, M Dettling, S Dudoit, ...
Genome biology 5 (10), R80, 2004
Causal inference without balance checking: Coarsened exact matching
SM Iacus, G King, G Porro
Political analysis 20 (1), 1-24, 2012
cem: Coarsened exact matching in Stata
M Blackwell, S Iacus, G King, G Porro
The Stata Journal 9 (4), 524-546, 2009
Multivariate matching methods that are monotonic imbalance bounding
SM Iacus, G King, G Porro
Journal of the American Statistical Association 106 (493), 345-361, 2011
Simulation and inference for stochastic differential equations: with R examples
SM Iacus
Springer Science & Business Media, 2009
Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France
A Ceron, L Curini, SM Iacus, G Porro
New Media & Society 16 (2), 340-358, 2014
CEM: software for coarsened exact matching
S Iacus, G King, G Porro
Journal of statistical Software 30 (13), 1-27, 2009
Using sentiment analysis to monitor electoral campaigns: Method matters—evidence from the United States and Italy
A Ceron, L Curini, SM Iacus
Social Science Computer Review 33 (1), 3-20, 2015
Matching for causal inference without balance checking
SM Iacus, G King, G Porro
Laboratorio di statistica con R
SM Iacus, G Masarotto
McGraw-Hill, 2007
Social Media e Sentiment Analysis: L'evoluzione dei fenomeni sociali attraverso la Rete
A Ceron, L Curini, SM Iacus
Springer Science & Business Media, 2014
Missing data imputation, matching and other applications of random recursive partitioning
SM Iacus, G Porro
Computational Statistics & Data Analysis 52 (2), 773-789, 2007
Parameter estimation for the discretely observed fractional Ornstein–Uhlenbeck process and the Yuima R package
A Brouste, SM Iacus
Computational Statistics 28 (4), 1529-1547, 2013
The yuima project: A computational framework for simulation and inference of stochastic differential equations
A Brouste, M Fukasawa, H Hino, S Iacus, K Kamatani, Y Koike, R Nomura, ...
Journal of Statistical Software 57 (4), 1-51, 2014
The balance‐sample size frontier in matching methods for causal inference
G King, C Lucas, RA Nielsen
American Journal of Political Science 61 (2), 473-489, 2017
Option pricing and estimation of financial models with R
SM Iacus
John Wiley & Sons, 2011
Estimation for the change point of volatility in a stochastic differential equation
SM Iacus, N Yoshida
Stochastic Processes and their Applications 122 (3), 1068-1092, 2012
iSA: A fast, scalable and accurate algorithm for sentiment analysis of social media content
A Ceron, L Curini, SM Iacus
Information Sciences 367, 105-124, 2016
Big data and social science: A practical guide to methods and tools
I Foster, R Ghani, RS Jarmin, F Kreuter, J Lane
Chapman and Hall/CRC, 2016
Measuring idiosyncratic happiness through the analysis of twitter: An application to the italian case
L Curini, S Iacus, L Canova
Social Indicators Research 121 (2), 525-542, 2015
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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